{"id":"https://openalex.org/W7117570461","doi":"https://doi.org/10.1145/3786764","title":"MiHazeFree3D: 3D Bounding Box Prediction for Vehicles and Pedestrians in Fog and Low-Light Conditions","display_name":"MiHazeFree3D: 3D Bounding Box Prediction for Vehicles and Pedestrians in Fog and Low-Light Conditions","publication_year":2025,"publication_date":"2025-12-30","ids":{"openalex":"https://openalex.org/W7117570461","doi":"https://doi.org/10.1145/3786764"},"language":"en","primary_location":{"id":"doi:10.1145/3786764","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3786764","pdf_url":null,"source":{"id":"https://openalex.org/S4210175912","display_name":"ACM Transactions on Internet of Things","issn_l":"2577-6207","issn":["2577-6207","2691-1914"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Internet of Things","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3786764","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056339946","display_name":"Hem Regmi","orcid":"https://orcid.org/0000-0001-9353-2011"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hem Regmi","raw_affiliation_strings":["Computer Science and Engineering, University of South Carolina"],"raw_orcid":"https://orcid.org/0000-0001-9353-2011","affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, University of South Carolina","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083175011","display_name":"Reza Tavasoli","orcid":"https://orcid.org/0000-0002-5044-6938"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Reza Tavasoli","raw_affiliation_strings":["Computer Science and Engineering, University of South Carolina"],"raw_orcid":"https://orcid.org/0000-0002-5044-6938","affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, University of South Carolina","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003823888","display_name":"Sanjib Sur","orcid":"https://orcid.org/0000-0002-5711-3087"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanjib Sur","raw_affiliation_strings":["Computer Science and Engineering, University of South Carolina"],"raw_orcid":"https://orcid.org/0000-0002-5711-3087","affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, University of South Carolina","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070972371","display_name":"Srihari Nelakuditi","orcid":"https://orcid.org/0000-0001-5990-394X"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srihari Nelakuditi","raw_affiliation_strings":["Computer Science and Engineering, University of South Carolina"],"raw_orcid":"https://orcid.org/0000-0001-5990-394X","affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, University of South Carolina","institution_ids":["https://openalex.org/I155781252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I155781252"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.60374483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":"1","first_page":"1","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.5856000185012817,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.5856000185012817,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.07850000262260437,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.07280000299215317,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.6193000078201294},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6187999844551086},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5410000085830688},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5048999786376953},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4821999967098236},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45509999990463257},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.43650001287460327},{"id":"https://openalex.org/keywords/radar-tracker","display_name":"Radar tracker","score":0.4178999960422516},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4162999987602234},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.4002000093460083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7120000123977661},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.6193000078201294},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6187999844551086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5659000277519226},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5511000156402588},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5410000085830688},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5048999786376953},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4821999967098236},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4677000045776367},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45509999990463257},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.43650001287460327},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.4178999960422516},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4162999987602234},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.4002000093460083},{"id":"https://openalex.org/C118381688","wikidata":"https://www.wikidata.org/wiki/Q1079524","display_name":"Specular reflection","level":2,"score":0.39559999108314514},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3862999975681305},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.376800000667572},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.3677999973297119},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.3659999966621399},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.36579999327659607},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3508000075817108},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3441999852657318},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.3140000104904175},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.31380000710487366},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C154910267","wikidata":"https://www.wikidata.org/wiki/Q1740982","display_name":"Non-line-of-sight propagation","level":3,"score":0.295199990272522},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.275299996137619},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C42629822","wikidata":"https://www.wikidata.org/wiki/Q1346408","display_name":"Geocoding","level":2,"score":0.2689000070095062},{"id":"https://openalex.org/C33499554","wikidata":"https://www.wikidata.org/wiki/Q1417134","display_name":"Dashboard","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.2563000023365021},{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.2522999942302704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3786764","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3786764","pdf_url":null,"source":{"id":"https://openalex.org/S4210175912","display_name":"ACM Transactions on Internet of Things","issn_l":"2577-6207","issn":["2577-6207","2691-1914"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Internet of Things","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3786764","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3786764","pdf_url":null,"source":{"id":"https://openalex.org/S4210175912","display_name":"ACM Transactions on Internet of Things","issn_l":"2577-6207","issn":["2577-6207","2691-1914"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Internet of Things","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7791667580604553}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1968148105","https://openalex.org/W2129577383","https://openalex.org/W3037844834","https://openalex.org/W3191343975","https://openalex.org/W4224928583","https://openalex.org/W4402916760"],"related_works":[],"abstract_inverted_index":{"We":[0,114],"present":[1],"MiHazeFree3D":[2,116,138],",":[3],"a":[4,62,98],"system":[5,49],"that":[6,137],"leverages":[7],"millimeter-wave":[8],"(mmWave)":[9],"radar":[10,159],"signals":[11],"to":[12,54,64],"predict":[13],"3D":[14,27,78,161],"bounding":[15],"boxes":[16],"of":[17,89,127,157],"vehicles":[18,143],"and":[19,35,85,107,140,144,151],"pedestrians":[20,145],"in":[21,41,57,74,81,146,164],"real-world":[22,112],"traffic":[23],"scenarios.":[24,113],"While":[25],"current":[26],"object":[28,162],"detection":[29,79,163],"methods":[30],"rely":[31],"primarily":[32],"on":[33,110,124],"cameras":[34],"LiDARs,":[36],"their":[37],"performance":[38],"degrades":[39],"significantly":[40],"rain,":[42],"fog,":[43],"or":[44],"poor":[45],"lighting":[46],"conditions.":[47],"Our":[48,134],"exploits":[50],"mmWave":[51,76,90,121,158],"radar\u2019s":[52],"ability":[53],"operate":[55],"reliably":[56],"these":[58,94],"challenging":[59],"conditions,":[60,148],"offering":[61],"complement":[63],"existing":[65],"sensors":[66],"without":[67],"increasing":[68],"computational":[69],"costs.":[70],"The":[71],"key":[72],"challenge":[73],"using":[75,117],"for":[77,160],"lies":[80],"handling":[82],"motion-induced":[83],"errors":[84],"the":[86,125,155],"specular":[87],"reflection":[88],"signals.":[91],"To":[92],"address":[93],"issues,":[95],"we":[96],"developed":[97],"deep":[99],"learning":[100],"architecture":[101],"with":[102],"multiple":[103],"feature":[104],"fusion":[105],"layers":[106],"trained":[108],"it":[109],"diverse":[111],"evaluated":[115],"data":[118],"collected":[119],"from":[120],"radars":[122],"mounted":[123],"dashboard":[126],"an":[128],"ego-vehicle":[129],"driving":[130,166],"through":[131],"urban":[132],"environments.":[133],"results":[135],"show":[136],"detects":[139],"bounds":[141],"both":[142],"tested":[147],"including":[149],"fog":[150],"low-light":[152],"scenarios,":[153],"highlighting":[154],"potential":[156],"autonomous":[165],"systems.":[167]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-12-30T00:00:00"}